| IVOD_ID |
167238 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/167238 |
| 日期 |
2026-01-26 |
| 會議資料.會議代碼 |
委員會-11-4-35-28 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
4 |
| 會議資料.會次 |
28 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
35 |
| 會議資料.委員會代碼:str[0] |
外交及國防委員會 |
| 會議資料.標題 |
第11屆第4會期外交及國防委員會第28次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-01-26T10:44:17+08:00 |
| 結束時間 |
2026-01-26T10:54:48+08:00 |
| 影片長度 |
00:10:31 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/eb9c45f2fd6188102eb0cbff62024e4c784d0199fe87f28a53e5fca86ad1f1aba5ee903531ddfe835ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
賴士葆 |
| 委員發言時間 |
10:44:17 - 10:54:48 |
| 會議時間 |
2026-01-26T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期外交及國防委員會第28次全體委員會議(事由:邀請國防部部長顧立雄報告「我國武器採購策略暨國防預算(公務、基金暨特別預算)編列結構之適切性」,併請經濟部、國家發展委員會、國家科學及技術委員會列席,並備質詢。) |
| transcript.pyannote[0].speaker |
SPEAKER_03 |
| transcript.pyannote[0].start |
1.58346875 |
| transcript.pyannote[0].end |
3.81096875 |
| transcript.pyannote[1].speaker |
SPEAKER_03 |
| transcript.pyannote[1].start |
3.97971875 |
| transcript.pyannote[1].end |
5.05971875 |
| transcript.pyannote[2].speaker |
SPEAKER_03 |
| transcript.pyannote[2].start |
5.11034375 |
| transcript.pyannote[2].end |
5.14409375 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
5.14409375 |
| transcript.pyannote[3].end |
5.88659375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
12.43409375 |
| transcript.pyannote[4].end |
13.04159375 |
| transcript.pyannote[5].speaker |
SPEAKER_03 |
| transcript.pyannote[5].start |
13.51409375 |
| transcript.pyannote[5].end |
15.53909375 |
| transcript.pyannote[6].speaker |
SPEAKER_03 |
| transcript.pyannote[6].start |
15.75846875 |
| transcript.pyannote[6].end |
18.28971875 |
| transcript.pyannote[7].speaker |
SPEAKER_03 |
| transcript.pyannote[7].start |
18.61034375 |
| transcript.pyannote[7].end |
22.25534375 |
| transcript.pyannote[8].speaker |
SPEAKER_03 |
| transcript.pyannote[8].start |
22.71096875 |
| transcript.pyannote[8].end |
31.03034375 |
| transcript.pyannote[9].speaker |
SPEAKER_03 |
| transcript.pyannote[9].start |
31.41846875 |
| transcript.pyannote[9].end |
34.40534375 |
| transcript.pyannote[10].speaker |
SPEAKER_03 |
| transcript.pyannote[10].start |
34.52346875 |
| transcript.pyannote[10].end |
35.63721875 |
| transcript.pyannote[11].speaker |
SPEAKER_03 |
| transcript.pyannote[11].start |
35.97471875 |
| transcript.pyannote[11].end |
38.52284375 |
| transcript.pyannote[12].speaker |
SPEAKER_03 |
| transcript.pyannote[12].start |
39.02909375 |
| transcript.pyannote[12].end |
41.59409375 |
| transcript.pyannote[13].speaker |
SPEAKER_03 |
| transcript.pyannote[13].start |
41.83034375 |
| transcript.pyannote[13].end |
44.96909375 |
| transcript.pyannote[14].speaker |
SPEAKER_03 |
| transcript.pyannote[14].start |
45.28971875 |
| transcript.pyannote[14].end |
46.20096875 |
| transcript.pyannote[15].speaker |
SPEAKER_03 |
| transcript.pyannote[15].start |
46.52159375 |
| transcript.pyannote[15].end |
51.31409375 |
| transcript.pyannote[16].speaker |
SPEAKER_03 |
| transcript.pyannote[16].start |
51.68534375 |
| transcript.pyannote[16].end |
66.75471875 |
| transcript.pyannote[17].speaker |
SPEAKER_03 |
| transcript.pyannote[17].start |
67.10909375 |
| transcript.pyannote[17].end |
68.71221875 |
| transcript.pyannote[18].speaker |
SPEAKER_03 |
| transcript.pyannote[18].start |
68.88096875 |
| transcript.pyannote[18].end |
73.96034375 |
| transcript.pyannote[19].speaker |
SPEAKER_03 |
| transcript.pyannote[19].start |
74.33159375 |
| transcript.pyannote[19].end |
79.49534375 |
| transcript.pyannote[20].speaker |
SPEAKER_03 |
| transcript.pyannote[20].start |
79.98471875 |
| transcript.pyannote[20].end |
81.38534375 |
| transcript.pyannote[21].speaker |
SPEAKER_03 |
| transcript.pyannote[21].start |
81.58784375 |
| transcript.pyannote[21].end |
82.66784375 |
| transcript.pyannote[22].speaker |
SPEAKER_03 |
| transcript.pyannote[22].start |
82.78596875 |
| transcript.pyannote[22].end |
84.69284375 |
| transcript.pyannote[23].speaker |
SPEAKER_03 |
| transcript.pyannote[23].start |
84.89534375 |
| transcript.pyannote[23].end |
88.40534375 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
89.14784375 |
| transcript.pyannote[24].end |
110.37659375 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
111.52409375 |
| transcript.pyannote[25].end |
116.99159375 |
| transcript.pyannote[26].speaker |
SPEAKER_03 |
| transcript.pyannote[26].start |
116.29971875 |
| transcript.pyannote[26].end |
122.18909375 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
121.81784375 |
| transcript.pyannote[27].end |
125.12534375 |
| transcript.pyannote[28].speaker |
SPEAKER_03 |
| transcript.pyannote[28].start |
123.18471875 |
| transcript.pyannote[28].end |
123.57284375 |
| transcript.pyannote[29].speaker |
SPEAKER_03 |
| transcript.pyannote[29].start |
125.24346875 |
| transcript.pyannote[29].end |
128.36534375 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
128.48346875 |
| transcript.pyannote[30].end |
129.68159375 |
| transcript.pyannote[31].speaker |
SPEAKER_03 |
| transcript.pyannote[31].start |
129.20909375 |
| transcript.pyannote[31].end |
131.57159375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
130.55909375 |
| transcript.pyannote[32].end |
140.81909375 |
| transcript.pyannote[33].speaker |
SPEAKER_03 |
| transcript.pyannote[33].start |
140.16096875 |
| transcript.pyannote[33].end |
141.78096875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
141.19034375 |
| transcript.pyannote[34].end |
163.58346875 |
| transcript.pyannote[35].speaker |
SPEAKER_03 |
| transcript.pyannote[35].start |
157.44096875 |
| transcript.pyannote[35].end |
158.23409375 |
| transcript.pyannote[36].speaker |
SPEAKER_03 |
| transcript.pyannote[36].start |
158.70659375 |
| transcript.pyannote[36].end |
159.83721875 |
| transcript.pyannote[37].speaker |
SPEAKER_03 |
| transcript.pyannote[37].start |
161.94659375 |
| transcript.pyannote[37].end |
161.99721875 |
| transcript.pyannote[38].speaker |
SPEAKER_03 |
| transcript.pyannote[38].start |
162.73971875 |
| transcript.pyannote[38].end |
165.05159375 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
165.25409375 |
| transcript.pyannote[39].end |
166.08096875 |
| transcript.pyannote[40].speaker |
SPEAKER_03 |
| transcript.pyannote[40].start |
166.01346875 |
| transcript.pyannote[40].end |
171.53159375 |
| transcript.pyannote[41].speaker |
SPEAKER_03 |
| transcript.pyannote[41].start |
171.70034375 |
| transcript.pyannote[41].end |
177.70784375 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
178.45034375 |
| transcript.pyannote[42].end |
185.77409375 |
| transcript.pyannote[43].speaker |
SPEAKER_03 |
| transcript.pyannote[43].start |
184.96409375 |
| transcript.pyannote[43].end |
185.63909375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
185.87534375 |
| transcript.pyannote[44].end |
203.37471875 |
| transcript.pyannote[45].speaker |
SPEAKER_03 |
| transcript.pyannote[45].start |
199.57784375 |
| transcript.pyannote[45].end |
200.11784375 |
| transcript.pyannote[46].speaker |
SPEAKER_03 |
| transcript.pyannote[46].start |
200.40471875 |
| transcript.pyannote[46].end |
202.80096875 |
| transcript.pyannote[47].speaker |
SPEAKER_03 |
| transcript.pyannote[47].start |
203.61096875 |
| transcript.pyannote[47].end |
206.29409375 |
| transcript.pyannote[48].speaker |
SPEAKER_03 |
| transcript.pyannote[48].start |
206.66534375 |
| transcript.pyannote[48].end |
208.28534375 |
| transcript.pyannote[49].speaker |
SPEAKER_03 |
| transcript.pyannote[49].start |
209.07846875 |
| transcript.pyannote[49].end |
211.72784375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
213.22971875 |
| transcript.pyannote[50].end |
213.68534375 |
| transcript.pyannote[51].speaker |
SPEAKER_03 |
| transcript.pyannote[51].start |
213.68534375 |
| transcript.pyannote[51].end |
214.36034375 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
213.70221875 |
| transcript.pyannote[52].end |
213.75284375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
214.71471875 |
| transcript.pyannote[53].end |
216.85784375 |
| transcript.pyannote[54].speaker |
SPEAKER_03 |
| transcript.pyannote[54].start |
218.84909375 |
| transcript.pyannote[54].end |
218.88284375 |
| transcript.pyannote[55].speaker |
SPEAKER_02 |
| transcript.pyannote[55].start |
218.88284375 |
| transcript.pyannote[55].end |
225.81846875 |
| transcript.pyannote[56].speaker |
SPEAKER_03 |
| transcript.pyannote[56].start |
225.29534375 |
| transcript.pyannote[56].end |
226.25721875 |
| transcript.pyannote[57].speaker |
SPEAKER_02 |
| transcript.pyannote[57].start |
225.86909375 |
| transcript.pyannote[57].end |
226.13909375 |
| transcript.pyannote[58].speaker |
SPEAKER_02 |
| transcript.pyannote[58].start |
226.25721875 |
| transcript.pyannote[58].end |
227.80971875 |
| transcript.pyannote[59].speaker |
SPEAKER_03 |
| transcript.pyannote[59].start |
227.80971875 |
| transcript.pyannote[59].end |
230.98221875 |
| transcript.pyannote[60].speaker |
SPEAKER_02 |
| transcript.pyannote[60].start |
227.82659375 |
| transcript.pyannote[60].end |
228.85596875 |
| transcript.pyannote[61].speaker |
SPEAKER_02 |
| transcript.pyannote[61].start |
230.07096875 |
| transcript.pyannote[61].end |
232.29846875 |
| transcript.pyannote[62].speaker |
SPEAKER_03 |
| transcript.pyannote[62].start |
232.72034375 |
| transcript.pyannote[62].end |
236.17971875 |
| transcript.pyannote[63].speaker |
SPEAKER_03 |
| transcript.pyannote[63].start |
236.26409375 |
| transcript.pyannote[63].end |
237.19221875 |
| transcript.pyannote[64].speaker |
SPEAKER_03 |
| transcript.pyannote[64].start |
237.47909375 |
| transcript.pyannote[64].end |
241.20846875 |
| transcript.pyannote[65].speaker |
SPEAKER_02 |
| transcript.pyannote[65].start |
240.36471875 |
| transcript.pyannote[65].end |
245.71409375 |
| transcript.pyannote[66].speaker |
SPEAKER_03 |
| transcript.pyannote[66].start |
245.07284375 |
| transcript.pyannote[66].end |
245.10659375 |
| transcript.pyannote[67].speaker |
SPEAKER_03 |
| transcript.pyannote[67].start |
245.71409375 |
| transcript.pyannote[67].end |
245.76471875 |
| transcript.pyannote[68].speaker |
SPEAKER_02 |
| transcript.pyannote[68].start |
245.76471875 |
| transcript.pyannote[68].end |
245.84909375 |
| transcript.pyannote[69].speaker |
SPEAKER_02 |
| transcript.pyannote[69].start |
246.59159375 |
| transcript.pyannote[69].end |
247.89096875 |
| transcript.pyannote[70].speaker |
SPEAKER_02 |
| transcript.pyannote[70].start |
248.53221875 |
| transcript.pyannote[70].end |
249.64596875 |
| transcript.pyannote[71].speaker |
SPEAKER_02 |
| transcript.pyannote[71].start |
250.30409375 |
| transcript.pyannote[71].end |
254.13471875 |
| transcript.pyannote[72].speaker |
SPEAKER_03 |
| transcript.pyannote[72].start |
253.52721875 |
| transcript.pyannote[72].end |
254.03346875 |
| transcript.pyannote[73].speaker |
SPEAKER_02 |
| transcript.pyannote[73].start |
254.72534375 |
| transcript.pyannote[73].end |
258.79221875 |
| transcript.pyannote[74].speaker |
SPEAKER_03 |
| transcript.pyannote[74].start |
257.32409375 |
| transcript.pyannote[74].end |
258.13409375 |
| transcript.pyannote[75].speaker |
SPEAKER_02 |
| transcript.pyannote[75].start |
260.34471875 |
| transcript.pyannote[75].end |
270.03096875 |
| transcript.pyannote[76].speaker |
SPEAKER_03 |
| transcript.pyannote[76].start |
260.69909375 |
| transcript.pyannote[76].end |
261.20534375 |
| transcript.pyannote[77].speaker |
SPEAKER_03 |
| transcript.pyannote[77].start |
268.47846875 |
| transcript.pyannote[77].end |
269.17034375 |
| transcript.pyannote[78].speaker |
SPEAKER_03 |
| transcript.pyannote[78].start |
270.03096875 |
| transcript.pyannote[78].end |
270.14909375 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
271.29659375 |
| transcript.pyannote[79].end |
295.49534375 |
| transcript.pyannote[80].speaker |
SPEAKER_03 |
| transcript.pyannote[80].start |
295.22534375 |
| transcript.pyannote[80].end |
304.21971875 |
| transcript.pyannote[81].speaker |
SPEAKER_03 |
| transcript.pyannote[81].start |
304.27034375 |
| transcript.pyannote[81].end |
304.28721875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
304.30409375 |
| transcript.pyannote[82].end |
306.61596875 |
| transcript.pyannote[83].speaker |
SPEAKER_03 |
| transcript.pyannote[83].start |
304.47284375 |
| transcript.pyannote[83].end |
305.38409375 |
| transcript.pyannote[84].speaker |
SPEAKER_03 |
| transcript.pyannote[84].start |
306.26159375 |
| transcript.pyannote[84].end |
307.83096875 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
306.83534375 |
| transcript.pyannote[85].end |
310.44659375 |
| transcript.pyannote[86].speaker |
SPEAKER_03 |
| transcript.pyannote[86].start |
310.02471875 |
| transcript.pyannote[86].end |
312.10034375 |
| transcript.pyannote[87].speaker |
SPEAKER_03 |
| transcript.pyannote[87].start |
312.20159375 |
| transcript.pyannote[87].end |
314.17596875 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
312.30284375 |
| transcript.pyannote[88].end |
312.52221875 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
314.17596875 |
| transcript.pyannote[89].end |
337.00784375 |
| transcript.pyannote[90].speaker |
SPEAKER_03 |
| transcript.pyannote[90].start |
314.44596875 |
| transcript.pyannote[90].end |
315.94784375 |
| transcript.pyannote[91].speaker |
SPEAKER_03 |
| transcript.pyannote[91].start |
335.77596875 |
| transcript.pyannote[91].end |
339.92721875 |
| transcript.pyannote[92].speaker |
SPEAKER_03 |
| transcript.pyannote[92].start |
340.51784375 |
| transcript.pyannote[92].end |
341.98596875 |
| transcript.pyannote[93].speaker |
SPEAKER_03 |
| transcript.pyannote[93].start |
342.05346875 |
| transcript.pyannote[93].end |
346.86284375 |
| transcript.pyannote[94].speaker |
SPEAKER_03 |
| transcript.pyannote[94].start |
347.67284375 |
| transcript.pyannote[94].end |
352.70159375 |
| transcript.pyannote[95].speaker |
SPEAKER_03 |
| transcript.pyannote[95].start |
353.54534375 |
| transcript.pyannote[95].end |
355.68846875 |
| transcript.pyannote[96].speaker |
SPEAKER_03 |
| transcript.pyannote[96].start |
357.00471875 |
| transcript.pyannote[96].end |
357.91596875 |
| transcript.pyannote[97].speaker |
SPEAKER_01 |
| transcript.pyannote[97].start |
358.87784375 |
| transcript.pyannote[97].end |
370.45409375 |
| transcript.pyannote[98].speaker |
SPEAKER_03 |
| transcript.pyannote[98].start |
363.13034375 |
| transcript.pyannote[98].end |
363.80534375 |
| transcript.pyannote[99].speaker |
SPEAKER_03 |
| transcript.pyannote[99].start |
370.13346875 |
| transcript.pyannote[99].end |
370.57221875 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
370.57221875 |
| transcript.pyannote[100].end |
371.09534375 |
| transcript.pyannote[101].speaker |
SPEAKER_03 |
| transcript.pyannote[101].start |
371.09534375 |
| transcript.pyannote[101].end |
372.93471875 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
372.93471875 |
| transcript.pyannote[102].end |
373.13721875 |
| transcript.pyannote[103].speaker |
SPEAKER_03 |
| transcript.pyannote[103].start |
373.13721875 |
| transcript.pyannote[103].end |
373.60971875 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
373.60971875 |
| transcript.pyannote[104].end |
373.71096875 |
| transcript.pyannote[105].speaker |
SPEAKER_03 |
| transcript.pyannote[105].start |
373.71096875 |
| transcript.pyannote[105].end |
374.89221875 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
373.77846875 |
| transcript.pyannote[106].end |
373.87971875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
373.87971875 |
| transcript.pyannote[107].end |
374.20034375 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
374.20034375 |
| transcript.pyannote[108].end |
374.33534375 |
| transcript.pyannote[109].speaker |
SPEAKER_00 |
| transcript.pyannote[109].start |
374.45346875 |
| transcript.pyannote[109].end |
380.98409375 |
| transcript.pyannote[110].speaker |
SPEAKER_03 |
| transcript.pyannote[110].start |
380.44409375 |
| transcript.pyannote[110].end |
383.58284375 |
| transcript.pyannote[111].speaker |
SPEAKER_03 |
| transcript.pyannote[111].start |
383.61659375 |
| transcript.pyannote[111].end |
385.57409375 |
| transcript.pyannote[112].speaker |
SPEAKER_03 |
| transcript.pyannote[112].start |
385.75971875 |
| transcript.pyannote[112].end |
386.19846875 |
| transcript.pyannote[113].speaker |
SPEAKER_03 |
| transcript.pyannote[113].start |
386.56971875 |
| transcript.pyannote[113].end |
388.29096875 |
| transcript.pyannote[114].speaker |
SPEAKER_03 |
| transcript.pyannote[114].start |
388.86471875 |
| transcript.pyannote[114].end |
393.82596875 |
| transcript.pyannote[115].speaker |
SPEAKER_03 |
| transcript.pyannote[115].start |
394.61909375 |
| transcript.pyannote[115].end |
398.90534375 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
400.12034375 |
| transcript.pyannote[116].end |
400.60971875 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
401.55471875 |
| transcript.pyannote[117].end |
404.11971875 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
404.92971875 |
| transcript.pyannote[118].end |
421.85534375 |
| transcript.pyannote[119].speaker |
SPEAKER_03 |
| transcript.pyannote[119].start |
406.31346875 |
| transcript.pyannote[119].end |
406.60034375 |
| transcript.pyannote[120].speaker |
SPEAKER_03 |
| transcript.pyannote[120].start |
421.33221875 |
| transcript.pyannote[120].end |
422.68221875 |
| transcript.pyannote[121].speaker |
SPEAKER_03 |
| transcript.pyannote[121].start |
423.74534375 |
| transcript.pyannote[121].end |
426.73221875 |
| transcript.pyannote[122].speaker |
SPEAKER_03 |
| transcript.pyannote[122].start |
427.22159375 |
| transcript.pyannote[122].end |
428.20034375 |
| transcript.pyannote[123].speaker |
SPEAKER_01 |
| transcript.pyannote[123].start |
427.25534375 |
| transcript.pyannote[123].end |
429.04409375 |
| transcript.pyannote[124].speaker |
SPEAKER_01 |
| transcript.pyannote[124].start |
429.55034375 |
| transcript.pyannote[124].end |
449.14221875 |
| transcript.pyannote[125].speaker |
SPEAKER_03 |
| transcript.pyannote[125].start |
434.10659375 |
| transcript.pyannote[125].end |
434.35971875 |
| transcript.pyannote[126].speaker |
SPEAKER_03 |
| transcript.pyannote[126].start |
449.19284375 |
| transcript.pyannote[126].end |
453.42846875 |
| transcript.pyannote[127].speaker |
SPEAKER_03 |
| transcript.pyannote[127].start |
454.32284375 |
| transcript.pyannote[127].end |
457.69784375 |
| transcript.pyannote[128].speaker |
SPEAKER_03 |
| transcript.pyannote[128].start |
457.96784375 |
| transcript.pyannote[128].end |
460.02659375 |
| transcript.pyannote[129].speaker |
SPEAKER_03 |
| transcript.pyannote[129].start |
461.14034375 |
| transcript.pyannote[129].end |
466.45596875 |
| transcript.pyannote[130].speaker |
SPEAKER_03 |
| transcript.pyannote[130].start |
467.51909375 |
| transcript.pyannote[130].end |
476.00721875 |
| transcript.pyannote[131].speaker |
SPEAKER_01 |
| transcript.pyannote[131].start |
476.58096875 |
| transcript.pyannote[131].end |
477.89721875 |
| transcript.pyannote[132].speaker |
SPEAKER_01 |
| transcript.pyannote[132].start |
479.12909375 |
| transcript.pyannote[132].end |
513.95909375 |
| transcript.pyannote[133].speaker |
SPEAKER_03 |
| transcript.pyannote[133].start |
488.32596875 |
| transcript.pyannote[133].end |
489.45659375 |
| transcript.pyannote[134].speaker |
SPEAKER_03 |
| transcript.pyannote[134].start |
490.14846875 |
| transcript.pyannote[134].end |
490.45221875 |
| transcript.pyannote[135].speaker |
SPEAKER_03 |
| transcript.pyannote[135].start |
513.95909375 |
| transcript.pyannote[135].end |
515.81534375 |
| transcript.pyannote[136].speaker |
SPEAKER_01 |
| transcript.pyannote[136].start |
515.81534375 |
| transcript.pyannote[136].end |
519.56159375 |
| transcript.pyannote[137].speaker |
SPEAKER_03 |
| transcript.pyannote[137].start |
516.91221875 |
| transcript.pyannote[137].end |
518.68409375 |
| transcript.pyannote[138].speaker |
SPEAKER_03 |
| transcript.pyannote[138].start |
519.17346875 |
| transcript.pyannote[138].end |
521.89034375 |
| transcript.pyannote[139].speaker |
SPEAKER_01 |
| transcript.pyannote[139].start |
521.89034375 |
| transcript.pyannote[139].end |
521.92409375 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
521.92409375 |
| transcript.pyannote[140].end |
522.76784375 |
| transcript.pyannote[141].speaker |
SPEAKER_03 |
| transcript.pyannote[141].start |
522.97034375 |
| transcript.pyannote[141].end |
524.08409375 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
523.64534375 |
| transcript.pyannote[142].end |
535.66034375 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
536.06534375 |
| transcript.pyannote[143].end |
544.84034375 |
| transcript.pyannote[144].speaker |
SPEAKER_03 |
| transcript.pyannote[144].start |
544.51971875 |
| transcript.pyannote[144].end |
549.70034375 |
| transcript.pyannote[145].speaker |
SPEAKER_03 |
| transcript.pyannote[145].start |
550.15596875 |
| transcript.pyannote[145].end |
562.52534375 |
| transcript.pyannote[146].speaker |
SPEAKER_03 |
| transcript.pyannote[146].start |
562.62659375 |
| transcript.pyannote[146].end |
570.67596875 |
| transcript.pyannote[147].speaker |
SPEAKER_01 |
| transcript.pyannote[147].start |
571.99221875 |
| transcript.pyannote[147].end |
578.72534375 |
| transcript.pyannote[148].speaker |
SPEAKER_01 |
| transcript.pyannote[148].start |
578.99534375 |
| transcript.pyannote[148].end |
580.42971875 |
| transcript.pyannote[149].speaker |
SPEAKER_03 |
| transcript.pyannote[149].start |
579.23159375 |
| transcript.pyannote[149].end |
580.37909375 |
| transcript.pyannote[150].speaker |
SPEAKER_03 |
| transcript.pyannote[150].start |
580.42971875 |
| transcript.pyannote[150].end |
585.57659375 |
| transcript.pyannote[151].speaker |
SPEAKER_01 |
| transcript.pyannote[151].start |
581.02034375 |
| transcript.pyannote[151].end |
581.30721875 |
| transcript.pyannote[152].speaker |
SPEAKER_01 |
| transcript.pyannote[152].start |
582.03284375 |
| transcript.pyannote[152].end |
582.13409375 |
| transcript.pyannote[153].speaker |
SPEAKER_00 |
| transcript.pyannote[153].start |
585.00284375 |
| transcript.pyannote[153].end |
603.29534375 |
| transcript.pyannote[154].speaker |
SPEAKER_03 |
| transcript.pyannote[154].start |
596.61284375 |
| transcript.pyannote[154].end |
598.26659375 |
| transcript.pyannote[155].speaker |
SPEAKER_03 |
| transcript.pyannote[155].start |
601.16909375 |
| transcript.pyannote[155].end |
601.45596875 |
| transcript.pyannote[156].speaker |
SPEAKER_03 |
| transcript.pyannote[156].start |
602.41784375 |
| transcript.pyannote[156].end |
607.15971875 |
| transcript.pyannote[157].speaker |
SPEAKER_03 |
| transcript.pyannote[157].start |
608.03721875 |
| transcript.pyannote[157].end |
608.98221875 |
| transcript.pyannote[158].speaker |
SPEAKER_03 |
| transcript.pyannote[158].start |
609.18471875 |
| transcript.pyannote[158].end |
611.49659375 |
| transcript.pyannote[159].speaker |
SPEAKER_03 |
| transcript.pyannote[159].start |
611.76659375 |
| transcript.pyannote[159].end |
613.11659375 |
| transcript.pyannote[160].speaker |
SPEAKER_03 |
| transcript.pyannote[160].start |
613.23471875 |
| transcript.pyannote[160].end |
616.91346875 |
| transcript.pyannote[161].speaker |
SPEAKER_00 |
| transcript.pyannote[161].start |
617.60534375 |
| transcript.pyannote[161].end |
625.55346875 |
| transcript.pyannote[162].speaker |
SPEAKER_03 |
| transcript.pyannote[162].start |
621.35159375 |
| transcript.pyannote[162].end |
622.71846875 |
| transcript.pyannote[163].speaker |
SPEAKER_03 |
| transcript.pyannote[163].start |
625.55346875 |
| transcript.pyannote[163].end |
628.57409375 |
| transcript.pyannote[164].speaker |
SPEAKER_03 |
| transcript.pyannote[164].start |
628.62471875 |
| transcript.pyannote[164].end |
628.64159375 |
| transcript.pyannote[165].speaker |
SPEAKER_00 |
| transcript.pyannote[165].start |
628.64159375 |
| transcript.pyannote[165].end |
629.08034375 |
| transcript.whisperx[0].start |
1.926 |
| transcript.whisperx[0].end |
4.62 |
| transcript.whisperx[0].text |
謝謝主席以及各位先進有請國防部的顧部長 |
| transcript.whisperx[1].start |
12.443 |
| transcript.whisperx[1].end |
28.797 |
| transcript.whisperx[1].text |
是 賴委員我請教部長 你剛才你對我已經否認了就是說台美要成立聯合火力協調中心外面感覺就是美軍要來兼軍你說絕對不是兼軍可是你們還內部高掛一個電子鐘倒數2027年的1月1日就是說老共要打台灣就掛在那裡 |
| transcript.whisperx[2].start |
39.805 |
| transcript.whisperx[2].end |
47.767 |
| transcript.whisperx[2].text |
而且美方的智庫宣稱 中共有人歷來打台灣在那個時候可是 人家知道 另外的智庫說不會打台灣2027我們現在看起來的感覺就是 都在政府說的啊現在為了一定澳洲 就說很緊張的2027要打啦所以你看啦 我要成立聯合火力協調中心啦然後另外一方面 賴清德總統會想說我選舉的時候 只有我當選 兩岸最和平 不會戰爭 |
| transcript.whisperx[3].start |
69.211 |
| transcript.whisperx[3].end |
88.226 |
| transcript.whisperx[3].text |
就是都知道你說的對了你要不要對這個事情這個來講一下你這個是不是準備打仗了2027年1月1日倒數你這個聯合協調中心即便美軍不是建軍好了但是是不是你掛在那裡就準備這一天要打仗是不是 |
| transcript.whisperx[4].start |
89.736 |
| transcript.whisperx[4].end |
110.015 |
| transcript.whisperx[4].text |
跟委員報告我想我們要以2027作為我們有一個高戰備的能力這是我們國軍的一個目標那這個跟來研判說中共是不是一定會在2027年對我們採取前面入侵的這些軍事行動我想不必然有等號的關係但是無論如何我們都要 |
| transcript.whisperx[5].start |
111.032 |
| transcript.whisperx[5].end |
128.193 |
| transcript.whisperx[5].text |
以為就是說我們透過不斷的這個實戰化的訓練所以等於戰備準備說我準備你那天來打你不打最好是這個意思我們一定要形成嚇阻我們一定要形成嚇阻嘛2027那就明年1月1日喔 剩不到一年喔 |
| transcript.whisperx[6].start |
128.753 |
| transcript.whisperx[6].end |
133.797 |
| transcript.whisperx[6].text |
時間蠻緊湊的我想2027年是一個點但是不會是2027年之後我們就不需要去籌購新式的武器也不需要去維持這個高戰備能力我們2027年我們有一個這樣子的一個要形成高戰備的能力但這樣的高戰備能力我們從這個點來看呢事實上還有待進一步提升的地方我們會持續來進進 |
| transcript.whisperx[7].start |
157.216 |
| transcript.whisperx[7].end |
159.638 |
| transcript.whisperx[7].text |
你剛才提到高戰備人力高戰備人力有沒有包括類似以色列的那種所謂的鐵穹系統 |
| transcript.whisperx[8].start |
178.764 |
| transcript.whisperx[8].end |
208.084 |
| transcript.whisperx[8].text |
我想我們已經在對外在說明就是說台灣之盾就是鐵球沒有我想每一個的系統不能夠做完全等號的類比但是我們要發展一個我們的台灣之盾來形成一個多層次的一個防禦在防空的部分這個是我們努力的方向防空很重要啦空戰很重要請問那個已經講很久了 |
| transcript.whisperx[9].start |
209.285 |
| transcript.whisperx[9].end |
231.405 |
| transcript.whisperx[9].text |
F16V到底今年可不可以交捐F16V我想這個是不是請空軍來回答今年能不能交捐目前是正在進行非策的階段這要看整個非策的結果如果順利呢順利的話今年當然可以交捐今年什麼時候第一季 第二季 第三季 第四季還是要看它整個測試的進度 |
| transcript.whisperx[10].start |
232.796 |
| transcript.whisperx[10].end |
258.525 |
| transcript.whisperx[10].text |
我看去年的報導是說今年的第三季最有可能我們叫Most likely 最有可能今年第三季如果說進度都正常的話那我們希望在今年第三季能夠交幾架這個都還沒辦法確定不是交66吧66架這個基本上是不太可能不太可能 40架咧這個我沒辦法去做一個預測交一半種可以吧 |
| transcript.whisperx[11].start |
260.339 |
| transcript.whisperx[11].end |
269.861 |
| transcript.whisperx[11].text |
投這麼久了所以說他出來的時間跟他後續的產能這個是有直接相關所以目前所以你一估只加一價 |
| transcript.whisperx[12].start |
271.585 |
| transcript.whisperx[12].end |
295.105 |
| transcript.whisperx[12].text |
我想這樣的委員就是說我們現在在進行各項的一個測試他第一架測試如果完成以後以之後的測試應該就會比較簡單那在線的組裝也有幾十架我上次已經報告有56架所以我們預期今年如果測試順利的話我們會有相應的數量來獲得交付那我們現在沒有辦法跟委員確定到底有多 |
| transcript.whisperx[13].start |
295.285 |
| transcript.whisperx[13].end |
299.589 |
| transcript.whisperx[13].text |
你剛才講我就幫你解讀我聽你講你剛講的意思就是只要那第一架測試成功大概就有56架第三季膠是不是這樣子可以這樣解讀嗎我沒有辦法說最樂觀最樂觀就會有56架的一個膠糊我只能夠說我這桌球給你了你不敢接最樂觀啊也不要你 |
| transcript.whisperx[14].start |
314.284 |
| transcript.whisperx[14].end |
318.006 |
| transcript.whisperx[14].text |
我們希望推估就是說如果完成首次的飛行那麼繼續按計畫來執行飛車的作業之後呢順利的這個進行的話呢會在這個115年會有這個飛機飛返那因為大家在飛機飛返之前他還會有相關的一些在美的訓練的項目這樣子所以還是要拖一陣子啦可能要到明年去啦 |
| transcript.whisperx[15].start |
340.601 |
| transcript.whisperx[15].end |
352.494 |
| transcript.whisperx[15].text |
那個你的 再一次大家討論的1.25兆特別預算現在確定的是美國要均售我們3500億我們在國內買3000億我這種講法對吧 |
| transcript.whisperx[16].start |
359.345 |
| transcript.whisperx[16].end |
382.162 |
| transcript.whisperx[16].text |
那個數字可能有點問題那個3千5百是含了美國啊美國 三個我們公務預算的案子也就是保修那個案子軍購五項裡面大概是2千9百億左右我們算零頭啦 零頭不要3千億 美國3千億是不是跟委員報告 因為我們在上個禮拜已經做了機密專報全部的內容都在那個機密專報裡面沒有 我現在從不機密的角度嘛我們今天公開的大家想知道啊 對不對 |
| transcript.whisperx[17].start |
386.645 |
| transcript.whisperx[17].end |
398.755 |
| transcript.whisperx[17].text |
因為我為什麼提這個東西那我就問你一個很籠統的你一定這個打都不會有心理壓力的1.25兆是不是都是武器的採購是不是不是1.25兆裡面它區分成 |
| transcript.whisperx[18].start |
405.02 |
| transcript.whisperx[18].end |
422.34 |
| transcript.whisperx[18].text |
那個七類然後七類裡面其中第六項的部分是提升整體軍備量能的部分它就有包含採購武器彈藥跟籌建我們的軍備產能以及提升我們的主角能量有沒有包括 |
| transcript.whisperx[19].start |
423.769 |
| transcript.whisperx[19].end |
448.108 |
| transcript.whisperx[19].text |
operating under maintenance的錢 有沒有維修費用 有沒有報告委員 作業維持費的這個部分有沒有 有沒有我們有 在軍購以及商購的案子裡面我們都會納到初期備份料件跟接裝等相關的支出那後續等到案子執行之後我們會納入年度公務預算裡面來編列作業費跟訓練費 |
| transcript.whisperx[20].start |
449.229 |
| transcript.whisperx[20].end |
475.856 |
| transcript.whisperx[20].text |
不要忘了 大家都知道我們最喜歡講Life Cycle叫做壽期 壽命的壽期間Life Cycle Cost那麼事實上 除了武器採購還要後續的維修費用作業維護費用都要加進來那個大概是 我查了一下大概是一到兩倍 這個錢你們沒有算進來包委員 這個應該 |
| transcript.whisperx[21].start |
479.138 |
| transcript.whisperx[21].end |
505.319 |
| transcript.whisperx[21].text |
比一到兩倍這種數字要複雜得多我們舉例來說彈藥類的東西他只有在後續的時候不不不我講那大武器啦比如說F16V啦或者比如說這個海馬仕啦之類的啦大武器的部分您舉到海馬仕的部分海馬仕的部分如果是以我們目前我們的規劃十年期做一次性能提升二十年期做一次延壽的話如果是按照這個規劃基本上是處於1.25到1.33左右 |
| transcript.whisperx[22].start |
507.341 |
| transcript.whisperx[22].end |
533.648 |
| transcript.whisperx[22].text |
好但是如果是像戰機這種項目他就會稍微高一點所以每個項目他都不同那這個錢也變在哪裡對這個我們在這個錢要變到哪裡我問你啊特別預算還是年度預算就是問題是個年度預算年度預算跟委員報告他剛剛站規師已經說明了軍事投資的這個部分都會有新增的就新增武器的裝備會有一個初次備份料增跟接裝訓練那在這個 |
| transcript.whisperx[23].start |
536.449 |
| transcript.whisperx[23].end |
546.355 |
| transcript.whisperx[23].text |
武器裝備部署之後 維保跟訓練所需就會放在這個作業維持會裡面兩個會做一個無縫的接軌這樣也就是說假如我們買的跟美國買3000億跟台灣自己買3000億如果加起來6000億事實上不止啦你們講的不止啦可能其他的6000億可能是商售或什麼之類的 |
| transcript.whisperx[24].start |
560.723 |
| transcript.whisperx[24].end |
569.067 |
| transcript.whisperx[24].text |
我們就用以保守六千億可能你們還是要編六千億的預算這個作為維護費用啊如果十年一年就六百億啊就加進來啦 我這樣講對不對報告委員您看到我們剛剛知會國會的裡面我們有很多是彈藥的 像托式 標槍那個金額很少啦那個金額很少啦 你不要講他老是講彈藥我要跟你講是大武器的啦 報告老新式武器有他的作為維持委的需求 那我們就 |
| transcript.whisperx[25].start |
589.816 |
| transcript.whisperx[25].end |
603.586 |
| transcript.whisperx[25].text |
新式武器進來之後那些不合時宜的這個舊的武器會把它汰除因此也會減少這部分的作業維持費這個就是以新換舊的情況之下作業維持費會做一個適當的調整我就是要強調1.25兆不是1.25兆ONLY要乘以2其他的1.25兆是放在年度預算不管你分攤10年或者20年基本上是各年都要分攤的我要強調這一點 |
| transcript.whisperx[26].start |
617.648 |
| transcript.whisperx[26].end |
624.014 |
| transcript.whisperx[26].text |
像我們海馬市的話就會提到一些舊市的這些泡的裝備那這些裝備的作業維持會因此就可以減少嗎1.3倍 1.5倍有的到2倍都有 |